Calculate the absolute number of correct/incorrect classifications and the following evaluation measures:
tpr True positive rate (Sensitivity, Recall)
fpr False positive rate (Fall-out)
fnr False negative rate (Miss rate)
tnr True negative rate (Specificity)
ppv Positive predictive value (Precision)
for False omission rate
lrp Positive likelihood ratio (LR+)
fdr False discovery rate
npv Negative predictive value
lrm Negative likelihood ratio (LR-)
dor Diagnostic odds ratio
For details on the used measures see
measures and also
The element for the false omission rate in the resulting object is not called
for should never be used as a variable name in an object.
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A list containing two elements
confusion.matrix which is
the 2 times 2 confusion matrix of absolute frequencies and
measures, a list of the above mentioned measures.
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